ArticleEuropean journal of cancer care2018
How do the characteristics of breast cancer diagnostic assessment programmes influence service delivery: A mixed methods study.
Article in European journal of cancer care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The Effect of Aromatherapy on Pain and Anxiety Levels Before Breast Biopsy: A Randomized Controlled Trial.European journal of breast health · 2025Article
- Implementation of the Canadian National Standards in Breast Cancer Surgical Care: Gaps, Barriers, Enablers and Opportunities.Current oncology (Toronto, Ont.) · 2021Article
- Recommendations to improve patient-centred care for ductal carcinoma in situ: Qualitative focus groups with women.Health expectations : an international journal of public participation in health care and health policy · 2020Article
- How do the characteristics of breast cancer diagnostic assessment programmes influence service delivery: A mixed methods study.European journal of cancer care · 2018Article
- Cost analysis of breast cancer diagnostic assessment programs.Current oncology (Toronto, Ont.) · 2017Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diagnostic assessment programmes (DAPs) coordinate multidisciplinary teamwork (MDT), and improve wait times and patient satisfaction. No research has established optimal DAP design. This study explored how DAP characteristics influence service delivery. A mixed methods case study of four breast cancer DAPs was conducted including qualitative interviews with health-care providers and retrospective chart review. Data were integrated using multiple approaches. Twenty-three providers were interviewed; 411 medical records were reviewed. The number of visits and wait times from referral to diagnosis and consultation were lowest at a one-stop model. DAP characteristics (rural-remote region, human resources, referral volume, organisation of services, adherence to service delivery targets and one-stop model) may influence service delivery (number of visits, wait times). MDT, influenced by other DAP characteristics (co-location of staff, patient navigators, team functioning), may also influence service delivery. While the one-stop model may be ideal, all sites experienced similar and unique challenges. Further research is needed to understand how to optimise the organisation and delivery of DAP services. Measures reflecting individual, team and patient-reported outcomes should be used to assess the effectiveness and impact of DAPs in addition to more traditional measures such as wait times.
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